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» Identifying Objects Using Cluster and Concept Analysis
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KDD
2004
ACM
237views Data Mining» more  KDD 2004»
16 years 3 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
ALT
2009
Springer
16 years 3 days ago
Approximation Algorithms for Tensor Clustering
Abstract. We present the first (to our knowledge) approximation algorithm for tensor clustering—a powerful generalization to basic 1D clustering. Tensors are increasingly common...
Stefanie Jegelka, Suvrit Sra, Arindam Banerjee
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
15 years 4 months ago
Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy
Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper trie...
Korinna Bade, Andreas Nürnberger
ICIAR
2005
Springer
15 years 8 months ago
Envelope Detection of Multi-object Shapes
The purpose of this paper is to allow for high level shape representation and matching in multi-object images by detecting and extracting the envelope of object groupings in the im...
Naif Alajlan, Ossama El Badawy, Mohamed S. Kamel, ...
IWPSE
2005
IEEE
15 years 8 months ago
Supporting Web Application Evolution by Dynamic Analysis
The evolution of Web Applications needs to be supported by the availability of proper analysis and design documents. UML use case diagrams are certainly useful to identify feature...
Giuseppe A. Di Lucca, Massimiliano Di Penta, Anna ...